What is recorded here?
Averaged parameters sampled along cyclical- or constant-learning-rate SGD trajectories to form a single model approximating benefits of a geometric ensemble.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Explicitly inherits classical iterate averaging and FGE; not invention of averaging. Generalization and apparent basin width are empirical/configuration-dependent, not reparameterization-invariant guarantees. Training samples, weight storage and normalization-statistic recomputation are not universally free.
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People and systems
Pavel Izmailov; Dmitrii Podoprikhin; Timur Garipov; Dmitry Vetrov; Andrew Gordon Wilson
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Stochastic Weight Averaging along training trajectories
Averaged parameters sampled along cyclical- or constant-learning-rate SGD trajectories to form a single model approximating benefits of a geometric ensemble.
Scientific scope
Explicitly inherits classical iterate averaging and FGE; not invention of averaging. Generalization and apparent basin width are empirical/configuration-dependent, not reparameterization-invariant guarantees. Training samples, weight storage and normalization-statistic recomputation are not universally free.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Pavel Izmailov; Dmitrii Podoprikhin; Timur Garipov; Dmitry Vetrov; Andrew Gordon Wilson
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.